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Top 10 Websites for Data Science

1. Coursera
2. EdX
3. Datacamp
4. Udemy
5. Udacity
6. Khan Academy
7. Kaggle
8. R-bloggers
9. Analytics Vidya
10. KDNuggets

Top 10 Skills for Data Science

1. Probability & Statistics
2. Linear Algebra
3. Python
4. R
5. SQL/Presto
6. Tableau/PowerBI
7. AWS/Azure
8. Spark
9. Excel
10. DevOps

Top 10 Algorithms for Data Science

1. Linear Regression
2. Logistics Regression
3. K-means Clustering
4. PCA
5. Support Vector Machine
6. Decision Tree
7. Random Forrest
8. Gradient Boosting Machine
9. XGboost
10. Artificial Neural Networks

Top 10 Industries for Data Science

1. Technology
2. Finance
3. Retail
4. Telecom
5. Healthcare & Pharma
6. Manufacturing
7. Automotive
8. Cybersecurity
9. Energy
10. Utilities

#datascience #mooc

@pythonicAi



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Top 10 Websites for Data Science

1. Coursera
2. EdX
3. Datacamp
4. Udemy
5. Udacity
6. Khan Academy
7. Kaggle
8. R-bloggers
9. Analytics Vidya
10. KDNuggets

Top 10 Skills for Data Science

1. Probability & Statistics
2. Linear Algebra
3. Python
4. R
5. SQL/Presto
6. Tableau/PowerBI
7. AWS/Azure
8. Spark
9. Excel
10. DevOps

Top 10 Algorithms for Data Science

1. Linear Regression
2. Logistics Regression
3. K-means Clustering
4. PCA
5. Support Vector Machine
6. Decision Tree
7. Random Forrest
8. Gradient Boosting Machine
9. XGboost
10. Artificial Neural Networks

Top 10 Industries for Data Science

1. Technology
2. Finance
3. Retail
4. Telecom
5. Healthcare & Pharma
6. Manufacturing
7. Automotive
8. Cybersecurity
9. Energy
10. Utilities

#datascience #mooc

@pythonicAi

BY Pythonic AI


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Dump Scam in Leaked Telegram Chat

A leaked Telegram discussion by 50 so-called crypto influencers has exposed the extraordinary steps they take in order to profit on the back off unsuspecting defi investors. According to a leaked screenshot of the chat, an elaborate plan to defraud defi investors using the worthless “$Few” tokens had been hatched. $Few tokens would be airdropped to some of the influencers who in turn promoted these to unsuspecting followers on Twitter.

Launched in 2013, Telegram allows users to broadcast messages to a following via “channels”, or create public and private groups that are simple for others to access. Users can also send and receive large data files, including text and zip files, directly via the app.The platform said it has more than 500m active users, and topped 1bn downloads in August, according to data from SensorTower.Pythonic AI from tr


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